Devices and methods for noninvasive physiological analysis

ABSTRACT

Provided are a physiological signal analysis device and method to detect and analyze physiological information of a subject. The physiological signal analysis device includes a memory device configure to store a wrinkle pattern at a measurement position of a subject as a reference position; a sensor configured to sense the reference position and a physiological signal of the subject at the reference position in response to the stored reference position being within a range of the sensor; and a signal processor configured to process the physiological signal sensed the sensor.

CROSS-REFERENCE TO RELATED APPLICATION

This application is a continuation of U.S. application Ser. No.14/813,840, filed on Jul. 30, 2015, in the U.S. Patent and TrademarkOffice, which claims priority from Korean Patent Application No.10-2014-0169182, filed on Nov. 28, 2014, in the Korean IntellectualProperty Office, the disclosures of which are incorporated herein byreference in their entireties.

BACKGROUND 1. Field

Apparatuses and methods consistent with exemplary embodiments relate toa physiological or biometric signal analysis device applicable to, forexample, a wearable blood-pressure measuring device, a wearableblood-sugar measuring device, a wearable cholesterol measuring device,and so forth.

2. Description of the Related Art

Invasive measuring methods are widely used along with many medicaldevices to perform various medical examinations. Invasive measurementwith respect to a human subject may include, for example, sampling bloodfrom the subject and analyzing the sampled blood. However, the subjectmay experience significant pain when blood is sampled and a reagentreacting with a particular substance in the blood during blood analysisand a colorimetric assay and optical equipment have to be used.

To solve this problem, various types of physiological informationdetection devices have been developed. In particular, with thepopularization of various wearable devices that a subject may directlywear, healthcare specialized devices have been developed.

SUMMARY

Exemplary embodiments address at least the above problems and/ordisadvantages and other disadvantages not described above. Also, theexemplary embodiments are not required to overcome the disadvantagesdescribed above, and may not overcome any of the problems describedabove.

One or more exemplary embodiments provide a physiological or biometricsignal analysis device which includes a measurement position sensorcapable of sensing a measurement position to measure a physiological orbiometric signal corresponding to a consistent measurement position, sothat the device may perform a consistent and accurate analysis of healthinformation.

Further, one or more exemplary embodiments provide a method foranalyzing a physiological or biometric signal according to a coherentmeasurement position by using a measurement position sensor.

According to an aspect of an exemplary embodiment, there is provided aphysiological signal analysis device including: a memory deviceconfigure to store a wrinkle pattern at a measurement position of asubject as a reference position; a sensor configured to sense thereference position and a physiological signal of the subject at thereference position in response to the stored reference position beingwithin a range of the sensor; and a signal processor configured toprocess the physiological signal sensed by the sensor.

The physiological signal analysis device may further include a displayconfigured to display the physiological signal processed by the signalprocessor.

The memory device, the sensor, the signal processor, and the display maybe connected to a wearable device worn by the subject, a healthcarerelated device, or a medical device.

The sensor may include: a measurement position sensor configured toperiodically sense the reference position; and a physiological signalsensor configured to sense the physiological signal at the referenceposition in response to the stored reference position being within arange of the measurement position sensor.

The measurement position sensor may include a measurement positionsensing pixel, and the physiological signal sensor may include aphysiological signal sensing pixel.

The measurement position sensing pixel or the physiological signalsensing pixel may include at least one of: a light emitter configured toradiate light onto the subject and a light receiver configured toreceive light that is emitted from the subject and carries physiologicalinformation of the subject; a capacitive electrode; an ultrasound wavegenerator configured to radiate an ultrasound wave to the subject; andan ultrasound wave receiver configured to measure an ultrasound wavethat is emitted from the subject and carries physiological informationof the subject.

The capacitive electrode may be a transparent electrode that preventsthe measurement position sensing pixel and the physiological signalsensing pixel from interfering with each other.

The measurement position sensing pixel and the physiological signalsensing pixel may be separately configured on a two-dimensional plane.

The measurement position sensing pixel and the physiological signalsensing pixel may be arranged alternately on a two-dimensional plane.

The physiological signal analysis device may further include aheterogeneous signal generator configured to separately generate ameasurement signal sensing signal and a physiological signal sensingsignal according to heterogeneous driving signals for the measurementposition sensor and the physiological signal sensor, respectively.

The measurement position sensing pixel may be configured to sense anelectric-field signal and the physiological signal sensing pixel may beconfigured to sense an optical signal.

The measurement position sensor may include: a fingerprint recognitionsensor configured to sense the reference position; and a proximityrecognition sensor configured to sense a contact state with respect tothe reference position.

The proximity recognition sensor may include a plurality of proximityrecognition sensors.

The sensor may include a sensing pixel and a heterogeneous signalgenerator configured to separately generate a measurement signal sensingsignal and a physiological signal sensing signal according toheterogeneous driving signals.

According to an aspect of another exemplary embodiment, there isprovided a physiological signal analysis method including: setting andstoring a wrinkle pattern at a measurement position of a subject as areference position; periodically sensing the reference position; andmeasuring a physiological signal at the reference position in responseto the stored reference position being within a range of a measurementposition sensor.

The setting and storing of the wrinkle pattern at the measurementposition of the subject as the reference position may includeautomatically setting and storing a single reference position or aplurality of reference positions.

The setting and storing of the wrinkle pattern at the measurementposition of the subject as the reference position may includedetermining, by a proximity recognition sensor, a proximity with respectto the measurement position, and setting and storing a single referenceposition or a plurality of reference positions in response to theproximity recognition sensor being proximate to the measurementposition.

The setting and storing of the wrinkle pattern at the measurementposition of the subject as the reference position may include manuallysetting and storing a single reference position or a plurality ofreference positions.

The setting and storing of the wrinkle pattern at the measurementposition of the subject as the reference position may include manuallysetting and storing a single reference position or a plurality ofreference positions in response to the proximity recognition sensordetermining that the proximity recognition sensor is proximate to themeasurement position.

According to an aspect of another exemplary embodiment, there isprovided a physiological signal analysis method including: setting andstoring a wrinkle pattern at a measurement position of a subject as areference position; sensing a proximity level with respect to thesubject; periodically sensing the reference position in response to thesensed proximity level being within a predetermined range; and measuringa physiological signal at the reference position in response to thestored reference position being within a range of the measurementposition sensor.

BRIEF DESCRIPTION OF THE DRAWINGS

The above and/or other aspects will be more apparent and more readilyappreciated from the following description of the by describing certainexemplary embodiments, with reference to the accompanying drawings, inwhich:

FIG. 1 illustrates a block diagram of a physiological or biometricsignal analysis device according to an exemplary embodiment;

FIG. 2 illustrates a flowchart of a method for detecting a physiologicalor biometric signal by using the physiological signal analysis deviceaccording to an exemplary embodiment;

FIGS. 3A and 3B illustrate plan views showing a case where a referenceposition is in a range of a measurement position sensor in aphysiological signal analysis device according to an exemplaryembodiment;

FIG. 3C illustrates a plan view showing a case where a referenceposition is out of a range of a measurement position sensor in aphysiological signal analysis device according to an exemplaryembodiment;

FIG. 4 illustrates a plan view of examples of a measurement positionsensing pixel including a transparent electrode and a physiologicalsignal sensing pixel including a light emitter and a light receiver in aphysiological signal analysis device according to an exemplaryembodiment;

FIG. 5 illustrates a plan view of examples of a measurement positionsensing pixel and a physiological signal sensing pixel that areseparately configured on the same two-dimensional (2D) plane in aphysiological signal analysis device according to an exemplaryembodiment;

FIG. 6 illustrates a plan view of examples of a measurement positionsensing pixel and a physiological signal sensing pixel that are arrangedalternately on the same 2D plane in a physiological signal analysisdevice according to an exemplary embodiment;

FIG. 7 illustrates a block diagram of the physiological signal analysisdevice illustrated in FIG. 1, in which a measurement position sensor anda physiological signal sensor are integrated and a heterogeneous signalgenerator is included in a signal processor;

FIG. 8 illustrates a block diagram of the physiological signal analysisdevice illustrated in FIG. 1, in which a heterogeneous signal generatoris included in a signal processor;

FIG. 9 illustrates a block diagram of the physiological signal analysisdevice illustrated in FIG. 1, in which a fingerprint recognition sensorand a proximity recognition sensor are included in a measurementposition sensor;

FIG. 10 illustrates a flowchart of a physiological signal detectionmethod used by a physiological signal analysis device including aproximity recognition sensor according to an exemplary embodiment;

FIG. 11 illustrates a flowchart illustrating a method for automaticallysetting a single reference position or a plurality of referencepositions in a physiological signal analysis device according to anexemplary embodiment;

FIG. 12 illustrates a flowchart of a method for automatically setting asingle reference position or a plurality of reference positions in aphysiological signal analysis device including a proximity recognitionsensor according to an exemplary embodiment;

FIG. 13 illustrates a flowchart of a method for manually setting asingle reference position or a plurality of reference positions in aphysiological signal analysis device according to an exemplaryembodiment; and

FIG. 14 illustrates a flowchart of a method for manually setting asingle reference position or a plurality of reference positions in aphysiological signal analysis device including a proximity recognitionsensor according to an exemplary embodiment.

DETAILED DESCRIPTION

Exemplary embodiments are described in greater detail below withreference to the accompanying drawings.

In the following description, like drawing reference numerals are usedfor like elements, even in different drawings. The matters defined inthe description, such as detailed construction and elements, areprovided to assist in a comprehensive understanding of the exemplaryembodiments. However, it is apparent that the exemplary embodiments canbe practiced without those specifically defined matters. Also,well-known functions or constructions are not described in detail sincethey would obscure the description with unnecessary detail.

Expressions such as “at least one of,” when preceding a list ofelements, modify the entire list of elements and do not modify theindividual elements of the list. When a part “includes” a component,this means that the part may further include another component, ratherthan excluding another component, unless described otherwise.

A physiological or biometric signal analysis device senses aphysiological or biometric signal at a consistent measurement positionfrom a subject and analyzes physiological information by using thesensed physiological signal.

FIG. 1 illustrates a block diagram of a physiological or biometricsignal analysis device according to an exemplary embodiment. Referringto FIG. 1, the physiological signal analysis device having a measurementposition sensing function may include a sensor 120, a memory device 130,a signal processor 140, and a display 150. The sensor 120 may include ameasurement position sensor 100 and a physiological signal sensor 110.The memory device 130 stores the shape of a wrinkle and/or a pattern ofwrinkles at a measurement position of a subject as a reference position101. The present embodiment is not limited thereto, and the memorydevice 130 may store additional micro features at the measurementposition, such as scars, freckles, and moles on the skin surface of thesubject. The memory device 130 may store two or more referencepositions. The measurement position sensor 100 periodically senses thereference position 101, and the physiological signal sensor 110 senses aphysiological signal at the reference position 101 if the storedreference position 101 enters a range of the measurement position sensor100. The signal processor 140 processes signals of the measurementposition sensor 100 and the physiological signal sensor 110, and thedisplay 150 displays a physiological signal measured by thephysiological signal sensor 110.

FIG. 2 is a flowchart illustrating a method for detecting aphysiological or biometric signal by using the physiological signalanalysis device according to an exemplary embodiment. Referring to FIG.2, a wrinkle pattern and/or a wrinkle curve shape of a measurement bodypart (e.g., wrist skin) is recognized through the measurement positionsensor 100, and is stored as the reference position 101 in the memorydevice 130 in operation S1. The wrinkle pattern and/or the wrinkle curveshape may be recognized using a fingerprint recognition technique, anoptical mouse pattern recognition technique, or the like. Informationrecognized by the measurement position sensor 100 is not limited to awrinkle shape and pattern, and may further include other micro featuressuch as scars, freckles, and moles on the skin surface of the subject.

The measurement position sensor 100 periodically senses the referenceposition 101 in operation S2. The reference position 101 may beperiodically sensed in various ways. For example, the reference position101 may be periodically sensed, but not limited to, for 10 seconds everyminute, for 10 seconds every 5 minutes, or for 10 seconds every 10minutes.

It is determined whether the reference position is in a range 102 of themeasurement position sensor 100 in operation S3. For example, the signalprocessor 140 may recognize a set of wrinkles from an image as a curvepattern and find similarity between the recognized curve pattern and areference curve pattern which is pre-stored in the memory device 130.Operation S3 will be further described with reference to FIGS. 3A, 3B,and 3C. FIGS. 3A and 3B are plan views corresponding to a case where thereference position 101 is in the range 102 of the measurement positionsensor 100 in the physiological signal analysis device according to anexemplary embodiment, and FIG. 3C is a plan view corresponding to a casewhere the reference position 101 is out of the range 102 of themeasurement position sensor 100 in the physiological signal analysisdevice according to an exemplary embodiment. If the reference position101 is not in the range 102 of the measurement position sensor 100 asillustrated in FIG. 3C, the method returns to operation S2 in which themeasurement position sensor 100 periodically senses the referenceposition 101.

On the other hand, if the reference position 101 is in the range 102 ofthe measurement position sensor 100 as illustrated in FIGS. 3A and 3B,the signal processor 140 performs signal processing to control thephysiological signal sensor 110 to sense a physiological signal, inoperation S4.

Next, the sensed physiological signal is displayed on the display 150 inoperation S5. For example, the display 150 may be medical equipmentusing physiological information, a printer for printing a result, or adisplay device for displaying an analysis result. The display 150 mayalso be, but not limited to, a smart phone, a cellular phone, a personaldigital assistant (PDA), a laptop, a personal computer (PC), and othermobile or non-mobile computing devices.

After operation S5, it may be further determined whether physiologicalsignal detection has been completed; if physiological signal detectionhas not been completed, the method goes back to operation S2, andotherwise, if physiological signal detection has been completed, themethod may be terminated.

A measurement position sensing pixel 103 or a physiological signalsensing pixel 111 may include at least one of a light emitter 112 forirradiating light to the subject, a light receiver 113 for receivingemitted light including a physiological signal from the subject, acapacitive electrode, an ultrasound wave generator for radiating anultrasound wave to the subject, and an ultrasound wave receiver formeasuring an emitted ultrasound wave including a physiological signalfrom the subject.

The measurement position sensing pixel 103 and the physiological signalsensing pixel 111 may have various positional relationships, as will bedescribed with reference to FIGS. 4, 5, and 6.

FIG. 4 is a plan view showing examples of the measurement positionsensing pixel 103 including a transparent electrode and thephysiological signal sensing pixel 111 including a light emitter 112 anda light receiver 113 in the physiological signal analysis deviceaccording to an exemplary embodiment. Referring to FIG. 4, themeasurement position sensing pixel 103 and the physiological signalsensing pixel 111 may overlap with each other when viewed in a verticaldirection of a pixel surface. In this case, the measurement positionsensing pixel 103 and the physiological signal sensing pixel 111 may beconfigured not to interfere with each other. For example, themeasurement position sensing pixel 103 may include a transparentelectrode for measuring a capacitance and the physiological signalsensing pixel 111 may include a light emitter 112 and a light receiver113, so that the measurement position sensing pixel 103 may include atransparent electrode and the physiological signal sensing pixel 111 maynot interfere with each other.

FIG. 5 is a plan view showing examples of the measurement positionsensing pixel 103 and the physiological signal sensing pixel 111 thatare separately configured on the same 2D plane in the physiologicalsignal analysis device according to an exemplary embodiment. Referringto FIG. 5, the measurement position sensing pixel 103 and thephysiological signal sensing pixel 111 may be separately configured onthe same 2D plane. The physiological signal analysis device may notanalyze a physiological signal at the reference position 101. Since thewrinkle shape and/or pattern at a measurement position is stored as thereference position 101 to sense a physiological signal at a consistentposition, the physiological signal sensing pixel 111 corresponding toeach measurement position sensing pixel 103 is set to obtainphysiological information at the consistent position.

FIG. 6 is a plan view showing examples of the measurement positionsensing pixel 103 and the physiological signal sensing pixel 111 thatare arranged alternately on the same 2D plane in the physiologicalsignal analysis device according to an exemplary embodiment. Themeasurement position sensing pixel 103 and the physiological signalsensing pixel 111 may be arranged alternately. For example, thearrangement may be such that physiological signal sensing pixels 111 maybe arranged on, under, to the left of, and to the right of onemeasurement position sensing pixel 103, and likewise, measurementposition sensing pixels 103 may be arranged on, under, to the left of,and to the right of one physiological signal sensing pixels 111.Alternatively, as illustrated in FIG. 6, between the measurementposition sensing pixels 103 arranged spaced apart from each other alongone direction, the physiological signal sensing pixel 111 may bearranged along that direction.

The physiological signal analysis device may be modified in variousembodiments, as will be described with reference to FIGS. 7 through 10.

FIG. 7 is a block diagram of a physiological signal analysis deviceillustrated in FIG. 1, in which the measurement position sensor 100 andthe physiological signal sensor 110 are integrated into one sensor 120and a heterogeneous signal generator 160 is included in the signalprocessor 140. Referring to FIG. 7, a measurement position sensingsignal and a physiological signal sensing signal are separatelygenerated according to heterogeneous driving signals generated by theheterogeneous signal generator 160 of the signal processor 140, and thesensor 120 differently senses the generated signals. For example, pixelsof the sensor 120 may include a capacitive electrode, and a signalgenerated from the electrode may be classified into a measurementposition sensing signal and a physiological signal sensing signalaccording to a frequency. In this case, the sensor 120 may include asingle kind of pixels, simplifying manufacturing.

FIG. 8 is a block diagram of the physiological signal analysis deviceillustrated in FIG. 1, in which the heterogeneous signal generator 160is included in the signal processor 140. Referring to FIG. 8, the sensor120 may include the measurement position sensor 100 and thephysiological signal sensor 110. The signal processor 140 may includethe heterogeneous signal generator 160. A measurement position sensingsignal and a physiological signal sensing signal are separatelygenerated according to heterogeneous driving signals generated by theheterogeneous signal generator 160 of the signal processor 140. Forexample, once the measurement position sensing signal is generated bythe heterogeneous signal generator 160, the measurement position sensor100 may sense an electric-field signal, and if the physiological signalsensing signal is generated by the heterogeneous signal generator 160,the physiological signal sensor 110 senses an optical signal. In thiscase, various types of physiological signals are sensed for use inphysiological signal analysis from various aspects.

FIG. 9 is a block diagram of the physiological signal analysis deviceillustrated in FIG. 1, in which a fingerprint recognition sensor 104 anda proximity recognition sensor 105 are included in the measurementposition sensor 100, and FIG. 10 is a flowchart illustrating aphysiological signal detection method using the physiological signalanalysis device including the proximity recognition sensor 105 accordingto an exemplary embodiment.

Referring to FIG. 9, when a measurement position is sensed, theproximity recognition sensor 105 identifies the reference position 101,considering a proximity corresponding to a distance between a body partand the sensor as a variable of the measurement position, therebyreducing the amount of computation in signal processing and thusachieving rapid data processing.

Referring to FIG. 10, the proximity recognition sensor 105 senses aproximity level with respect to a subject in operation S10.

Proximity to a measurement position is determined in operation S11. Ifthe proximity recognition sensor 105 is not proximate to the measurementposition, the method returns to operation S10.

On the other hand, if the proximity recognition sensor 105 is proximateto the measurement position, the measurement position sensor 100periodically senses the reference position in operation S12. Thereference position 101 may be periodically sensed in various ways. Forexample, the reference position 101 may be periodically sensed, but notlimited to, for 10 seconds every minute, for 10 seconds every 5 minutes,or for 10 seconds every 10 minutes.

It is determined whether the reference position 101 is in the range 102of the measurement position sensor 100 in operation S13. If thereference position 101 is not in the range 102 of the measurementposition sensor 100 as illustrated in FIG. 3C, the method goes back tooperation S10 in which the proximity recognition sensor 105 senses theproximity level with respect to the subject.

On the other hand, if the reference position 101 is in the range 102 ofthe measurement position sensor 100 as illustrated in FIGS. 3A and 3B,the signal processor 140 performs signal processing to control thephysiological signal sensor 110 to sense the physiological signal, inoperation S14.

The sensed physiological signal is displayed on the display 150 inoperation S15. For example, the display 150 may be medical equipmentusing physiological information, a printer for printing a result, or adisplay device for displaying an analysis result. The display 150 mayalso be, but not limited to, a smart phone, a cellular phone, a PDA, alaptop, a PC, and other mobile or non-mobile computing devices.

The proximity recognition sensor 105 may also be provided as a pluralityof proximity recognition sensors 105. If a single proximity recognitionsensor 105 is provided, the fingerprint recognition sensor 104 may notcontact the skin even if the proximity recognition sensor 105 contactsthe skin. To avoid this situation, the plurality of proximityrecognition sensors 105 are provided and perform fingerprint recognitionsensing only when the fingerprint recognition sensor 104 contacts theskin.

In the physiological signal analysis device, the reference position 101may be set in various ways, as will be described with reference to FIGS.11 through 14.

FIG. 11 is a flowchart illustrating a method for automatically setting asingle reference position or a plurality of reference positions in thephysiological signal analysis device according to an exemplaryembodiment. Referring to FIG. 11, the subject sets the number ofreference positions 101, N, in operation S21. The number of referencepositions may be greater than 1. The number of reference positions 101is stored as N, and i is stored as 0.

The measurement position sensor 100 obtains a position signal inoperation S22. The position signal may be an image of a wrinkle shapeand/or a wrinkle pattern at a measurement body part of the subject.

It is determined whether the obtained position image is the same as apreviously stored image of the reference position 101 in operation S23.If the obtained position image is the same as the previously storedimage of the reference position 101, the method returns to operationS22.

On the other hand, if the obtained position image is different from thepreviously stored image of the reference position 101, the obtainedposition image is set and stored as a reference position, and i isstored as (i+1) in operation S24.

The value i is compared with the value N to determine whether setting ofthe reference position 101 has been completed in operation S25. If thevalue i is different from the value N, the method returns to operationS22; otherwise, if the value i is equal to the value N, setting of thereference position 101 is terminated.

FIG. 12 is a flowchart illustrating a method for automatically setting asingle reference position or a plurality of reference positions in thephysiological signal analysis device including the proximity recognitionsensor 105 according to an exemplary embodiment. Referring to FIG. 12,the subject sets the number of reference positions 101 in operation S31.The number of reference positions may be greater than 1. The number ofreference positions 101 is set as N and i is set as 0.

The proximity recognition sensor 105 senses a proximity level withrespect to the subject in operation S32.

Proximity with the measurement position is determined in operation S33.If the proximity recognition sensor 105 is not proximate to themeasurement position, the method returns to operation S32.

On the other hand, if the proximity recognition sensor 105 is proximateto the measurement position, the measurement position sensor 100 obtainsa position signal in operation S34. The position signal may be an imageof a wrinkle shape and/or a wrinkle pattern at the measurement body partof the subject.

It is determined whether the obtained position image is the same as apreviously stored image of the reference position 101 in operation S35.If the obtained position image is the same as the previously storedimage of the reference position 101, the method returns to operationS32.

On the other hand, if the obtained position image is different from thepreviously stored image of the reference position 101, the obtainedposition image is set and stored as a reference position, and i isstored as (i+1) in operation S36.

The value i is compared with the value N to determine whether setting ofthe reference position 101 has been completed in operation S37. If thevalue i is different from the value N, the method goes back to operationS32; otherwise, if the value i is equal to the value N, setting of thereference position 101 is terminated.

FIG. 13 is a flowchart illustrating a method for manually setting asingle reference position or a plurality of reference positions in thephysiological signal analysis device according to an exemplaryembodiment. Referring to FIG. 13, the physiological signal analysisdevice is placed at a position to be set as the reference position 101in operation S41. This operation may be performed by placing thephysiological signal analysis device at the position to be set as thereference position 101 and then pressing a button.

Next, the measurement position sensor 100 obtains a position signal inoperation S42. The position signal may be a wrinkle shape image at themeasurement body part of the subject.

It is determined whether the obtained position image is the same as apreviously stored image of the reference position 101 in operation S43.If the obtained position image is the same as the previously storedimage of the reference position 101, a message requesting positionchange is output in operation S44 and the method goes back to operationS41.

On the other hand, if the obtained position image is different from thepreviously stored image of the reference position 101, the obtainedposition image is set and stored as a reference position in operationS45.

It is determined whether setting of the reference position 101 has beencompleted in operation S46. If setting of the reference position 101 hasnot been completed, the method returns to operation S41; otherwise, ifsetting of the reference position has been completed, setting of thereference position 101 is terminated.

FIG. 14 is a flowchart illustrating a method for manually setting asingle reference position or a plurality of reference positions in thephysiological signal analysis device including the proximity recognitionsensor 105 according to an exemplary embodiment. Referring to FIG. 14,the physiological signal analysis device is placed at a position to beset as the reference position 101 in operation S51. This operation maybe performed by placing the physiological signal analysis device at theposition to be set as the reference position 101 and then pressing abutton.

The proximity recognition sensor 105 senses a proximity level withrespect to the subject in operation S52.

Proximity with the measurement position is determined in operation S53.If the proximity recognition sensor 105 is not proximate to themeasurement position, a message requesting moving the sensor closer tothe measurement position is output in operation S54 and the methodreturns to operation S51.

On the other hand, if the proximity recognition sensor 105 is proximateto the measurement position, the measurement position sensor 100 obtainsa position signal in operation S55. The position signal may be a wrinkleshape image at a measurement body part of the subject.

It is determined whether the obtained position image is the same as apreviously stored image of the reference position 101 in operation S56.If the obtained position image is the same as the previously storedimage of the reference position 101, a message requesting positionchange is output in operation S57, and the method returns to operationS51.

On the other hand, if the obtained position image is different from thepreviously stored image of the reference position 101, the obtainedposition image is set and stored as a reference position in operationS58.

It is determined whether setting of the reference position 101 has beencompleted in operation S59. If setting of the reference position 101 hasnot been completed, the method returns to operation S51; otherwise, ifsetting of the reference position 101 has been completed, setting of thereference position 101 is terminated.

As described above, according to the one or more of the above exemplaryembodiments, physiological information at a consistent measurementposition is collected, such that consistent and accurate physiologicalsignal analysis may be performed.

It should be understood that the exemplary embodiments described thereinshould be considered in a descriptive sense only and not for purposes oflimitation. Descriptions of features or aspects within each exemplaryembodiment should typically be considered as available for other similarfeatures or aspects in other exemplary embodiments.

While exemplary embodiments have been described with reference to thefigures, it will be understood by those of ordinary skill in the artthat various changes in form and details may be made therein withoutdeparting from the spirit and scope as defined by the following claims.

What is claimed is:
 1. A physiological signal analysis devicecomprising: an image sensor comprising a measurement position sensingpixel array; a physiological signal sensor comprising a light emitterand a light receiver which are disposed underneath the measurementposition sensing pixel array, the physiological signal sensor beingprovided separately from the image sensor, wherein the physiologicalsignal sensor senses a physiological signal that comprises healthinformation of a subject based on a light that is emitted to the subjectthrough the measurement position sensing pixel array and collected fromthe subject through the measurement position sensing pixel array; and aprocessor configured to control the physiological signal sensor to sensethe physiological signal according to a fingerprint sensed using themeasurement position sensing pixel array, wherein, when a finger is incontact with the image sensor, the measurement position sensing pixelarray is disposed between the light emitter and the light receiver ofthe physiological signal sensor and the finger.
 2. The physiologicalsignal analysis device of claim 1, wherein the measurement positionsensing pixel array comprising a transparent electrode.
 3. Thephysiological signal analysis device of claim 1, further comprising adisplay configured to display the physiological signal processed by theprocessor.
 4. A physiological signal analysis method comprising:obtaining a wrinkle pattern of a subject using an image sensor thatcomprises a measurement position sensing pixel array; and measuring, bya physiological signal sensor provided separately from the image sensorand comprising a light emitter and a light receiver, a physiologicalsignal that comprises health information the subject, according to thewrinkle pattern, wherein the measuring the physiological signalcomprises sensing the physiological signal of the subject based on alight that is emitted to the subject through the measurement positionsensing pixel array which is laid over the entire physiological signalsensor including the light emitter and the light receiver, and collectedfrom the subject through the measurement position sensing pixel array.5. The physiological signal analysis method of claim 4, wherein themeasurement position sensing pixel array comprising a transparentelectrode.
 6. The physiological signal analysis method of claim 4,further comprising displaying the physiological signal.